Introducing TextImage Augmentation for Document Images

AI Impact Summary

OpenAI is introducing a new data augmentation pipeline, TextImage Augmentation, designed to improve the performance of Vision Language Models (VLMs) when trained on document images. This pipeline handles both image and text modalities simultaneously, addressing the common challenge of limited datasets and the need for models to effectively interpret text within images. The core of the augmentation involves random line selection, text modification using techniques like random insertion, deletion, and swapping, and image manipulation to maintain text integrity, ultimately aiming to generate synthetic data for robust VLM training.